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Migliore M, Cannia C, Lytton WW, Markram H, Hines ML (2006) Parallel network simulations with NEURON. J Comput Neurosci 21:119-29 [PubMed]

   Parallel network simulations with NEURON (Migliore et al 2006)

References and models cited by this paper

References and models that cite this paper

Almasi G, Heidelberger P, Archer CJ, Martorell X, Erway CC, Moreira JE, Steinmacher-burow B, (2005) Optimization of MPI collective communication on BlueGene-L systems Proc. 19th annual international conference on Supercomputing :253-262
Bush PC, Prince DA, Miller KD (1999) Increased pyramidal excitability and NMDA conductance can explain posttraumatic epileptogenesis without disinhibition: a model. J Neurophysiol 82:1748-58 [Journal] [PubMed]
   Cortical network model of posttraumatic epileptogenesis (Bush et al 1999) [Model]
Carriero N, Gelernter D (1989) Linda in context Communications of the ACM, April 1989
Davison AP, Feng J, Brown D (2003) Dendrodendritic inhibition and simulated odor responses in a detailed olfactory bulb network model. J Neurophysiol 90:1921-35 [Journal] [PubMed]
   Olfactory Bulb Network (Davison et al 2003) [Model]
Delorme A, Thorpe SJ (2003) SpikeNET: an event-driven simulation package for modelling large networks of spiking neurons. Network 14:613-27 [PubMed]
Goddard N, Hood G, Howell F, Hines M, De_Schutter E (2001) NEOSIM: Portable largescaleplug and play modelling Neurocomputing 38-40:1657-1661
Goddard NH, Hood G () Large scale simulation with PGENESIS. The Book Of Genesis: Exploring Realistic Neural Models With The General Neural Simulation System
Hammarlund P, Wilhelmsson T, Lansner A (1996) Large neural network simulations on multiple hardware platforms The Neurobiology of Computation, Bower J, ed.
Hindmarsh A, Serban R (2002) User documentation for Cvodes, an ode solver with sensitivity analysis capabilities Tech Rep
Hines ML, Carnevale NT (1997) The NEURON simulation environment. Neural Comput 9:1179-209 [PubMed]
Hines ML, Carnevale NT (2004) Discrete event simulation in the NEURON environment. Neurocomputing 58-60:1117-1122 [Journal]
   Discrete event simulation in the NEURON environment (Hines and Carnevale 2004) [Model]
Howell FW, Dyrhfjeld-johnsen J, Maex R, Goddard N, De_schutter E (2000) A large scale model of the cerebellar cortex using P GENESIS Neurocomuting 32-33:1041-1046
Karypis G, Kumar V (1998) Multilevel k-way partitioning scheme for irregular graphs Journal Of Parallel And Distributed Computing 48:96-129
Lytton WW, Hines ML (2005) Independent variable time-step integration of individual neurons for network simulations. Neural Comput 17:903-21 [Journal] [PubMed]
   Local variable time step method (Lytton, Hines 2005) [Model]
Markram H (2006) The blue brain project. Nat Rev Neurosci 7:153-60 [Journal] [PubMed]
Mattia M, Del Giudice P (2000) Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses. Neural Comput 12:2305-29 [PubMed]
Migliore M, Hoffman DA, Magee JC, Johnston D (1999) Role of an A-type K+ conductance in the back-propagation of action potentials in the dendrites of hippocampal pyramidal neurons. J Comput Neurosci 7:5-15 [Journal] [PubMed]
   CA1 pyramidal neuron (Migliore et al 1999) [Model]
Morrison A, Mehring C, Geisel T, Aertsen AD, Diesmann M (2005) Advancing the boundaries of high-connectivity network simulation with distributed computing. Neural Comput 17:1776-801 [Journal] [PubMed]
Myers R (2000) http:--www.mtsu.edu-~csjudy-STL-HashMap.h
Santhakumar V, Aradi I, Soltesz I (2005) Role of mossy fiber sprouting and mossy cell loss in hyperexcitability: a network model of the dentate gyrus incorporating cell types and axonal topography. J Neurophysiol 93:437-53 [Journal] [PubMed]
   Dentate gyrus network model (Santhakumar et al 2005) [Model]
   Dentate gyrus (Morgan et al. 2007, 2008, Santhakumar et al. 2005, Dyhrfjeld-Johnsen et al. 2007) [Model]
Wilson EC, Goodman PH, Harris FC (2001) Implementation of a Biologically Realistic Parallel Neocortical-Neural Network Simulator Proceedings of the Tenth SIAM Conference on Parallel Process. for Science Computation
Aisa B, Mingus B, O'Reilly R (2008) The emergent neural modeling system. Neural Netw 21:1146-52 [Journal] [PubMed]
Beining M, Mongiat LA, Schwarzacher SW, Cuntz H, Jedlicka P (2017) T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells eLife [Journal]
   Mature and young adult-born dentate granule cell models (T2N interface) (Beining et al. 2017) [Model]
   GC model (Beining et al 2017) [Model]
Bezaire MJ, Raikov I, Burk K, Vyas D, Soltesz I (2016) Interneuronal mechanisms of hippocampal theta oscillations in a full-scale model of the rodent CA1 circuit. Elife [Journal] [PubMed]
   Hippocampal CA1 NN with spontaneous theta, gamma: full scale & network clamp (Bezaire et al 2016) [Model]
Dura-Bernal S, Neymotin SA, Kerr CC, Sivagnanam S, Majumdar A, Francis JT, Lytton WW (2017) Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis. IBM Journal of Research and Development (Computational Neuroscience special issue) 61(2/3):6:1-6:14 [Journal]
   Motor system model with reinforcement learning drives virtual arm (Dura-Bernal et al 2017) [Model]
García-Grajales JA, Rucabado G, García-Dopico A, Peña JM, Jérusalem A (2015) Neurite, a finite difference large scale parallel program for the simulation of electrical signal propagation in neurites under mechanical loading. PLoS One 10:e0116532 [Journal] [PubMed]
   Neurite: electrophysiological-mechanical coupling simulation framework (Garcia-Grajales et al 2015) [Model]
Giugliano M, Gambazzi L, Ballerini L, Prato M, Campidelli S (2012) Carbon nanotubes as electrical interfaces to neurons Nanotechnology for Biology and Medicine, Parpura V, Silva GA, ed. pp.187 [Journal]
   Carbon nanotubes as electrical interfaces to neurons (Giugliano et al. 2008) [Model]
Gleeson P, Steuber V, Silver RA (2007) neuroConstruct: a tool for modeling networks of neurons in 3D space. Neuron 54:219-35 [Journal] [PubMed]
Hines M, Kumar S, Schürmann F (2011) Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer. Front Comput Neurosci 5:49 [Journal] [PubMed]
   Spike exchange methods for a Blue Gene/P supercomputer (Hines et al., 2011) [Model]
Hines ML, Eichner H, Schürmann F (2008) Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors. J Comput Neurosci 25:203-10 [Journal] [PubMed]
   Cell splitting in neural networks extends strong scaling (Hines et al. 2008) [Model]
Hines ML, Markram H, Schürmann F (2008) Fully implicit parallel simulation of single neurons. J Comput Neurosci 25:439-48 [Journal] [PubMed]
   Fully Implicit Parallel Simulation of Single Neurons (Hines et al. 2008) [Model]
Kozloski J, Wagner J (2011) An Ultrascalable Solution to Large-scale Neural Tissue Simulation. Front Neuroinform 5:15 [Journal] [PubMed]
Linaro D, Storace M, Giugliano M (2011) Accurate and fast simulation of channel noise in conductance-based model neurons by diffusion approximation. PLoS Comput Biol 7:e1001102 [Journal] [PubMed]
   Accurate and fast simulation of channel noise in conductance-based model neurons (Linaro et al 2011) [Model]
Lytton WW, Omurtag A (2007) Tonic-clonic transitions in computer simulation. J Clin Neurophysiol 24:175-81 [Journal] [PubMed]
   Tonic-clonic transitions in a seizure simulation (Lytton and Omurtag 2007) [Model]
Lytton WW, Seidenstein AH, Dura-Bernal S, McDougal RA, Schürmann F, Hines ML (2016) Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON. Neural Comput 28:2063-90 [Journal] [PubMed]
   Parallelizing large networks in NEURON (Lytton et al. 2016) [Model]
Markram H, Muller E, Ramaswamy S, Reimann MW, Abdellah M, Sanchez CA, Ailamaki A, Alonso-Nanclares L, Antille N, Arsever S, Kahou GA, Berger TK, Bilgili A, Buncic N, Chalimourda A, Chindemi G, Courcol JD, Delalondre F, Delattre V, Druckmann S, Dumusc R, Dynes J, Eilemann S, Gal E, Gevaert ME, Ghobril JP, Gidon A, Graham JW, Gupta A, Haenel V, Hay E, Heinis T, Hernando JB, Hines M, Kanari L, Keller D, Kenyon J, Khazen G, Kim Y, King JG, Kisvarday Z, Kumbhar P, Lasserre S, Le Bé JV, Magalhães BR, Merchán-Pérez A, Meystre J, Morrice BR, Muller J, Muñoz-Céspedes A, Muralidhar S, Muthurasa K, Nachbaur D, Newton TH, Nolte M, Ovcharenko A, Palacios J, Pastor L, Perin R, Ranjan R, Riachi I, Rodríguez JR, Riquelme JL, Rössert C, Sfyrakis K, Shi Y, Shillcock JC, Silberberg G, Silva R, Tauheed F, Telefont M, Toledo-Rodriguez M, Tränkler T, Van Geit W, Díaz JV, Walker R, Wang Y, Zaninetta SM (2015) Reconstruction and Simulation of Neocortical Microcircuitry. Cell 163:456-92 [Journal] [PubMed]
   The neocortical microcircuit collaboration portal (Markram et al. 2015) [Model]
McDougal RA, Bulanova AS, Lytton WW (2016) Reproducibility in Computational Neuroscience Models and Simulations. IEEE Trans Biomed Eng 63:2021-35 [Journal] [PubMed]
Schneider CJ, Cuntz H, Soltesz I (2014) Linking macroscopic with microscopic neuroanatomy using synthetic neuronal populations. PLoS Comput Biol 10:e1003921 [Journal] [PubMed]
   Generation of granule cell dendritic morphology (Schneider et al. 2014) [Model]
Soudry D, Meir R (2014) The neuronal response at extended timescales: a linearized spiking input-output relation. Front Comput Neurosci 8:29 [Journal] [PubMed]
   Method for deriving general HH neuron model`s spiking input-output relation (Soudry & Meir 2014) [Model]
Tsai D, Chen S, Protti DA, Morley JW, Suaning GJ, Lovell NH (2012) Responses of retinal ganglion cells to extracellular electrical stimulation, from single cell to population: model-based analysis. PLoS One 7:e53357 [Journal] [PubMed]
   Retinal ganglion cells responses and activity (Tsai et al 2012, Guo et al 2016) [Model]
van Drongelen W, Lee HC, Stevens RL, Hereld M (2007) propagation of seizure-like activity in a model of neocortex. J Clin Neurophysiol 24:182-8 [Journal] [PubMed]
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